Haifeng Li

11.0k total citations · 6 hit papers
217 papers, 7.6k citations indexed

About

Haifeng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Haifeng Li has authored 217 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 77 papers in Artificial Intelligence and 57 papers in Media Technology. Recurrent topics in Haifeng Li's work include Remote-Sensing Image Classification (46 papers), Domain Adaptation and Few-Shot Learning (32 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Haifeng Li is often cited by papers focused on Remote-Sensing Image Classification (46 papers), Domain Adaptation and Few-Shot Learning (32 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Haifeng Li collaborates with scholars based in China, United States and Canada. Haifeng Li's co-authors include Ling Zhao, Tao Lin, Min Deng, Pu Wang, Yu Liu, Chao Zhang, Chao Tao, Li Chen, Jiawei Zhu and Jian Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Haifeng Li

198 papers receiving 7.4k citations

Hit Papers

T-GCN: A Temporal Graph Convolutional Network for Traffic... 2017 2026 2020 2023 2019 2020 2017 2021 2022 500 1000 1.5k 2.0k

Peers

Haifeng Li
Comparison fields: 5 of 182
  • Building and Construction 2.0k
  • Artificial Intelligence 2.0k
  • Media Technology 1.7k
  • Computer Vision and Pattern Recognition 1.4k
  • Transportation 1.4k
Replace Ryosuke Shibasaki with:
Ryosuke Shibasaki Japan
Min Deng China
Chen Chen China
Shiming Xiang China
Mo Li China
Cheng Wang China
Kun Fu China
Tao Lin China
A. K. Qin Australia
Amir H. Alavi United States
Ryosuke Shibasaki Japan View profile →
Citations per field, relative to Haifeng Li
Haifeng Li · 1×
Citations per year, relative to Haifeng Li
Haifeng Li · 1×

Countries citing papers authored by Haifeng Li

Since Specialization
Citations

This map shows the geographic impact of Haifeng Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haifeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Li more than expected).

Fields of papers citing papers by Haifeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haifeng Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haifeng Li. The network helps show where Haifeng Li may publish in the future.

Co-authorship network of co-authors of Haifeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haifeng Li. A scholar is included among the top collaborators of Haifeng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haifeng Li. Haifeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 23
5 3
6 12
7 38
8 11
9 20
10 1
11 9
12 4
13 3
14 20
15 5
16 30
17 66
18 34
19 17
20
Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method.
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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